{"id":"W2316208838","doi":"10.1109/ecce.2014.6953929","title":"Hybrid generator for wind generation systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Exciter; Wind power; Electrical engineering; Stator; Electricity generation; Permanent magnet synchronous generator; Transformer; Voltage; Rectifier (neural networks); Turbine; Generator (circuit theory); Engineering; Converters; Computer science; Automotive engineering; Power (physics); Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009138414,0.0002444397,0.0002369068,0.0001944967,0.0001902866,0.0003732111,0.0003371784,0.0002973166,0.006590352],"category_scores_gemma":[0.0001254037,0.00008938751,0.0001514498,0.0001949508,0.0001654857,0.0003217051,0.0002369152,0.0004015779,0.001417798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446548,"about_ca_system_score_gemma":0.0001152174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841069,"about_ca_topic_score_gemma":0.0004702245,"domain_scores_codex":[0.9999235,0.00002001468,0.00000321938,0.00001364362,0.00003384353,0.000005839845],"domain_scores_gemma":[0.9999515,0.00001548776,0.000003774997,0.000008108249,0.00001679208,0.000004259557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002286209,0.0001170722,0.000961306,0.0008389164,0.00009536309,0.0007398873,0.0001760122,0.1106657,0.1201857,0.1723432,0.01844655,0.5752017],"study_design_scores_gemma":[0.000165583,0.0007796169,0.001538583,0.0001028096,0.00005655295,0.00135714,0.0000767593,0.609901,0.03189368,0.06060647,0.2934615,0.00006042065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0188015,0.002478217,0.9341243,0.0002219087,0.0004796418,0.000136569,0.0001136249,0.00154176,0.04210257],"genre_scores_gemma":[0.764596,0.001681846,0.181757,0.0001961065,0.0003381672,0.000249713,0.0003457363,0.0001725838,0.0506628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006590352,"threshold_uncertainty_score":0.02204698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146733192773987,"score_gpt":0.1871682482929612,"score_spread":0.1757009163652213,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}